Conference paper

OČENÁŠEK Jiří and SCHWARZ Josef. Estimation Distribution Algorithm for mixed continuous-discrete optimization problems. In: Proceedings of the 2nd Euro-International Symposium on Computational Intelligence. Kosice: IOS Press, 2002, pp. 227-232. ISBN 1-58603-256-9.
Publication language:english
Original title:Estimation Distribution Algorithm for mixed continuous-discrete optimization problems
Title (cs):Algoritmus založený na pravděpodobnostních modelech pro smíšené spojitě-diskrétní optimalizační problémy
Pages:227-232
Proceedings:Proceedings of the 2nd Euro-International Symposium on Computational Intelligence
Conference:2nd Euro-International Symposium on Computational Intelligence
Place:Kosice, SK
Year:2002
ISBN:1-58603-256-9
Publisher:IOS Press
Keywords
Estimation Distribution Algorithm, Bayesian Optimization Algorithm, Bayesian network, Gaussian network,  classification and regression tree model (CART).
Annotation
In recent few years expressive progress in the theory and practice of Estimation of Distribution Algorithms (EDAs) [1] has appeared, where the classical genetic recombination operators are replaced by probability estimation and stochastic sampling techniques. In this paper we identify some disadvantages of present probabilistic models used in EDAs and propose more general and efficient model for continuous optimization problems based on the decision trees. The new variant of EDA is capable to solve mixed continuous-discrete optimization problems.
BibTeX:
@INPROCEEDINGS{
   author = {Ji{\v{r}}{\'{i}} O{\v{c}}en{\'{a}}{\v{s}}ek and Josef
	Schwarz},
   title = {Estimation Distribution Algorithm for mixed
	continuous-discrete optimization problems},
   pages = {227--232},
   booktitle = {Proceedings of the 2nd Euro-International Symposium on
	Computational Intelligence},
   year = {2002},
   location = {Kosice, SK},
   publisher = {IOS Press},
   ISBN = {1-58603-256-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=6938}
}

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